A seven-lncRNA signature predicts overall survival in esophageal squamous cell carcinoma.
A seven-lncRNA signature predicts overall survival in esophageal squamous cell carcinoma.
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DOI：
10.1038/s41598-018-27307-2
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发表时间：
2018-06-11
影响因子：
4.6
通讯作者：
Liu J
中科院分区：
文献类型：
--
作者：
Mao Y;Fu Z;Zhang Y;Dong L;Zhang Y;Zhang Q;Li X;Liu J
食管鳞状细胞癌（ESCC）是最常见的癌症类型之一，也是全球癌症相关死亡率的主要原因，特别是在东亚。在这里，我们从基因表达综合数据集（GEO）和癌症基因组图谱数据集（TCGA）下载了ESCC患者lncRNA表达谱的微阵列数据，并分为训练集、验证集和测试集。应用随机生存森林（RSF）算法和考克斯回归分析来鉴定7-lncRNA标签。然后使用Kaplan-Meier检验、时间依赖性受试者工作特征（ROC）曲线和动态曲线下面积（AUC）在验证和测试集中评估7-lncRNA标签的预测能力。分层分析和多变量考克斯回归分析也表明，在其他临床因素的预后预测的签名的独立性。此外，lncRNA签名的预测准确性在所有三个集合中均明显优于肿瘤淋巴结转移（TNM）分期。LncRNA与TNM分期联合应用较单独应用更能预测患者的预后。还观察了来自签名的LINC 00173在调节ESCC细胞的增殖和细胞周期中的作用。这些结果表明，这七个lncRNA签名可以用作ESCC患者预后预测的独立预后生物标志物。
Esophageal squamous cell carcinoma (ESCC) is one of the most common types of cancer and the leading causes of cancer-related mortality worldwide, especially in Eastern Asia. Here, we downloaded the microarray data of lncRNA expression profiles of ESCC patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data sets and divided into training, validation and test set. The random survival forest (RSF) algorithm and Cox regression analysis were applied to identify a seven-lncRNA signature. Then the predictive ability of the seven-lncRNA signature was evaluated in the validation and test set using Kaplan-Meier test, time-dependent receiver operating characteristic (ROC) curves and dynamic area under curve (AUC). Stratified analysis and multivariate Cox regression also demonstrated the independence of the signature in prognosis prediction from other clinical factors. Besides, the predict accuracy of lncRNA signature was much better than that of tumor-node-metastasis (TNM) stage in all the three sets. LncRNA combined with TNM displayed better prognostic predict ability than either alone. The role of LINC00173 from the signature in modulating the proliferation and cell cycle of ESCC cells was also observed. These results indicated that this seven-lncRNA signature could be used as an independent prognostic biomarker for prognosis prediction of patients with ESCC.
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影响因子：
64.8
作者：
通讯作者：
--
影响因子：
64.8
作者：
Navin N;Kendall J;Troge J;Andrews P;Rodgers L;McIndoo J;Cook K;Stepansky A;Levy D;Esposito D;Muthuswamy L;Krasnitz A;McCombie WR;Hicks J;Wigler M
通讯作者：
Wigler M
影响因子：
24.5
作者：
Li J;Chen Z;Tian L;Zhou C;He MY;Gao Y;Wang S;Zhou F;Shi S;Feng X;Sun N;Liu Z;Skogerboe G;Dong J;Yao R;Zhao Y;Sun J;Zhang B;Yu Y;Shi X;Luo M;Shao K;Li N;Qiu B;Tan F;Chen R;He J
通讯作者：
He J
影响因子：
16.6
作者：
Schwarzer A;Emmrich S;Schmidt F;Beck D;Ng M;Reimer C;Adams FF;Grasedieck S;Witte D;Käbler S;Wong JWH;Shah A;Huang Y;Jammal R;Maroz A;Jongen-Lavrencic M;Schambach A;Kuchenbauer F;Pimanda JE;Reinhardt D;Heckl D;Klusmann JH
通讯作者：
Klusmann JH
DOI：
10.1093/bioinformatics/btp101
发表时间：
2009-04-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Bindea G;Mlecnik B;Hackl H;Charoentong P;Tosolini M;Kirilovsky A;Fridman WH;Pagès F;Trajanoski Z;Galon J
通讯作者：
Galon J